Emil Gustavsson

23 papers Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2023 J jnl
Model Predictive Control when utilizing LSTM as dynamic models.
Eng. Appl. Artif. Intell.
Marvin Jung, Paulo Renato da Costa Mendes, Magnus Önnheim, Emil Gustavsson
2021 J jnl
Natural language processing methods for knowledge management - Applying document clustering for fast search and grouping of engineering documents.
Concurr. Eng. Res. Appl.
Ivar Örn Arnarsson, Otto Frost, Emil Gustavsson, Mats Jirstrand, Johan Malmqvist
2021 J jnl
OODIDA: On-Board/Off-Board Distributed Real-Time Data Analytics for Connected Vehicles.
Data Sci. Eng.
Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
2020 J jnl
Facilitating rapid prototyping in the distributed data analytics platform OODIDA via active-code replacement.
Array
Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
2020 J jnl
S-RASTER: contraction clustering for evolving data streams.
J. Big Data
Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
2019 — conf
Active-Code Replacement in the OODIDA Data Analytics Platform.
Euro-Par Workshops
Gregor Ulm, Emil Gustavsson, Mats Jirstrand
2019 J jnl
Active-Code Replacement in the OODIDA Data Analytics Platform.
CoRR
Gregor Ulm, Emil Gustavsson, Mats Jirstrand
2019 J jnl
Active-Code Replacement in the OODIDA Data Analytics Platform.
CoRR
Gregor Ulm, Emil Gustavsson, Mats Jirstrand
2019 — conf
Architecture-Aware Bayesian Optimization for Neural Network Tuning.
ICANN (2)
Anders Sjöberg, Magnus Önnheim, Emil Gustavsson, Mats Jirstrand
2019 J jnl
Contraction Clustering (RASTER): A Very Fast Big Data Algorithm for Sequential and Parallel Density-Based Clustering in Linear Time, Constant Memory, and a Single Pass.
CoRR
Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
2019 — conf
Federated Learning of Deep Neural Decision Forests.
LOD
Anders Sjöberg, Emil Gustavsson, Ashok Chaitanya Koppisetty, Mats Jirstrand
2019 J jnl
OODIDA: On-board/Off-board Distributed Data Analytics for Connected Vehicles.
CoRR
Gregor Ulm, Emil Gustavsson, Mats Jirstrand
2019 — conf
Reinforcement Learning Informed by Optimal Control.
ICANN (Workshop)
Magnus Önnheim, Pontus Andersson, Emil Gustavsson, Mats Jirstrand
2019 J jnl
S-RASTER: Contraction Clustering for Evolving Data Streams.
CoRR
Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
2018 — conf
A Performance Evaluation of Federated Learning Algorithms.
DIDL@Middleware
Adrian Nilsson, Simon Smith, Gregor Ulm, Emil Gustavsson, Mats Jirstrand
2018 — conf
Functional Federated Learning in Erlang (ffl-erl).
WFLP
Gregor Ulm, Emil Gustavsson, Mats Jirstrand
2018 J jnl
Functional Federated Learning in Erlang (ffl-erl).
CoRR
Gregor Ulm, Emil Gustavsson, Mats Jirstrand
2017 — conf
Contraction Clustering (Raster) - A Big Data Algorithm for Density-Based Clustering in Constant Memory and Linear Time.
MOD
Gregor Ulm, Emil Gustavsson, Mats Jirstrand
2017 J jnl
Ergodic, primal convergence in dual subgradient schemes for convex programming, II: the case of inconsistent primal problems.
Math. Program.
Magnus Önnheim, Emil Gustavsson, Ann-Brith Strömberg, Michael Patriksson, Torbjörn Larsson
2016 J jnl
Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence.
CoRR
Emilio Jorge, Mikael Kågebäck, Emil Gustavsson
2015 J jnl
Primal convergence from dual subgradient methods for convex optimization.
Math. Program.
Emil Gustavsson, Michael Patriksson, Ann-Brith Strömberg
2015 J jnl
Scheduling tamping operations on railway tracks using mixed integer linear programming.
EURO J. Transp. Logist.
Emil Gustavsson
2014 J jnl
Preventive maintenance scheduling of multi-component systems with interval costs.
Comput. Ind. Eng.
Emil Gustavsson, Michael Patriksson, Ann-Brith Strömberg, Adam Wojciechowski, Magnus Önnheim